import numpy as np
-dt = 0.01 # Time step
+dt = 0.05 # Time step
+probe_dt = 0.1 # Time step to sample from probe
t_cue = 1.0 # Duration of cue presentation
t_delay = 8.0 # Duration of delay period between cue and decision
cue_scale = 1.0 # How strong the cuelus is from the visual system
misperceive = 0.1 # ???
time_scale = 0.4 # ???
-steps = np.arange(750) # Steps to use
+steps = np.linspace(0, 750, 250) # Steps to use
noise_wm = 0.005 # Standard deviation of white noise added to WM
noise_decision = 0.005 # Standard deviation of white noise added to decision
neurons_decide = 100 # Number of neurons for decision
neurons_wm = 100 # Number of neurons for working memory ensemble
tau_wm = 0.1 # Synapse on recurrent connection in wm
tau = 0.01 # Synaptic time constant between ensembles
+seed = 1 # Seed for RNG
+n_trials = 1